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Tadas Antanavicius
410 posts
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Tadas Antanavicius
@tadasayy
Consulting eng leaders at 50-5,000 person orgs on effective adoption of agentic engineering via pulsemcp.com tadasant on most other platforms.
United States
pulsemcp.com
Joined September 2010
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  • Pinned
    user avatar
    Tadas Antanavicius
    @tadasayy
    Jul 17
    I teamed up with @domdomegg from @AnthropicAI to write up what we think are some advanced MCP usage trends and opportunities - ones you can put into practice today. My favorite takeaways from our writeup: (1) Claude Tag <> Slack is just the first example of adding an “MCP
  • user avatar
    Tadas Antanavicius
    @tadasayy
    Jul 12
    Something underappreciated about Claude Tag: it could serve as a beachhead surface for a new wave of expertise and services monetization that propels us beyond just coding with AI. For example: @lennysan has an MCP server (lennysdata.com) that is effectively a bundle of
  • user avatar
    Tadas Antanavicius
    @tadasayy
    Jun 28
    We're only at the very beginning of the explosion of token costs. Today, only 1% of engineers have really figured out how to use agentic AI effectively; @ryancarson is one of them. He's spending $15-20k/mo. I spend about the same (subsidized by Claude Max plans). Sure, we can
    user avatar
    Ryan Carson
    Untangle
    @ryancarson
    Jun 27
    I'm starting to hit $15-20k per month in token spend for engineering - just for myself. Next month I'll be looking to implement the kinds of things that Brian is doing here at Coinbase. Most likely switching to GLM 5.2 as default and only using frontier models for harder
  • user avatar
    Tadas Antanavicius
    @tadasayy
    Jun 20
    Great read. Some of the tactics would be hard to implement for companies still early on the adoption curve ("You should set default reasoning to medium and only escalate when the task requires it."), but there's a goldmine of practical initiatives to push
    user avatar
    rahul
    Ramp
    @rahulgs
    Jun 19
    it is simultaneously possible to spend a lot on AI and still underuse it, esp in larger orgs we're seeing this with meta, uber, and many other orgs instituting budgets some factors are at play: 1. cost of the frontier comes at an enormous premium: fable -> glm 5.2 is a 10x
  • user avatar
    Tadas Antanavicius
    @tadasayy
    Jun 17
    Article cover image
    Article
    Agentic Engineering KPIs For Eng Leaders
    I’ve been spending most of my time working with a range of engineering organizations upskilling their teams as a hands-on consultant. In parallel, I’ve pushed forward my own agentic engineering...

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